Internet of Things Data Boom and Machine Learning Future

The Internet's Internet, machine learning and block chain technology, and data technology will shape the future in the corner of our industry. A network that supports block chains provides a link between input (IoT receiver) and processing (machine learning) as a basis for data communication while maintaining source and control. As we look at the growth of each technology being used and employed, we can see how they are catalytic to each other.

The Internet (IIoT) for industrial use refers to the expansion and use of Mono's Internet (IoT) in industrial fields and applications. IIoT specializes in Machine-to-Machine (M2M) communication, big data, and machine learning, improving the efficiency and reliability of industry and business operations. IIoT covers industrial applications such as robotics engineering, medical equipment, software-defined manufacturing process. IIoT is beyond the network interconnection of physical devices normally associated with regular consumer devices and things of the object. It is a common part between information technology (IT) and operation technology (OT) that makes it stand out. OT refers to a network of business processes and industrial control systems (ICS), including Human Machine Interface (HMI), Monitoring and Data Acquisition (SCADA) systems, Distributed Control System (DCS), and Programmable Logic Controller (PLC) .

Data science began with statistics and evolved to include concepts such as artificial intelligence, machine learning, and the Internet's things. Due to the growth of the Internet, the growth of the Internet (IoT), and the exponential growth, the amount of information is increasing. Amount of data available in the enterprise. When a company opens its doors with the aim of increasing revenue and promoting better decision making, the use of big data will begin to be applied in various fields such as medicine, engineering and social science.